library(plotly)
library(dplyr)
library(ggplot2)
library(maps)
library(usmapdata)

Introduction

Racism exists across the United States, with people of color being treated differently than Whites. The jail system in the United States is where racism is most visible, particularly over-policing of people of color, which has resulted in disproportionately imprisonment of people of color. As a result, I wish to examine incarceration using a dataset to determine whether or not individuals of color face disproportionate incarceration. Using incarceration collected by the Vera Institute, the variables I have chosen to are: year, county name, states, total jail population, black jail population, and white jail population. I have chosen to focus on the differing impacts of incarcerations on both the White and Black races respectively.

Paragraph of Summary

Total black jail population between the year of 2015 to 2018

Total white jail population between the year of 2015 and 2018

Ratio of total population between the aged 15-64 for each race every year after 2015 to 2018

State that has the highest population in jail in the year of 2018

State that has the least jail population in the year of 2016

Comparison Chart

The comparison chart that I did was an stack bar chart in which it’s showing an comparison between two race white and black. In the chart, it’s showing the total number of black and white in jail from 2015 to 2018 in selected states which are also NY, WA, OR, TN, adn WY. By looking at the chart between the two races you can clearly see how in the year 2015 to 2018 Tennessee has the highest White jail population and compare to New York where it has the highest Black jail population.

Map

The map that I did was an US map showing the population of Black in jail in the selected states in the US. In the map, you can see how CA, TX, AL, PA, ect are color for their black population within each state. On the side of the map it has a scale of the population from 0 to 5000 and how looking at the map CA has one of the highest comparing to the other selected states.

## `summarise()` has grouped output by 'state'. You can override using the
## `.groups` argument.